Recent advances in deep learning have given rise to high performance in image analysis
operations in healthcare. Lung diseases are of particular interest, as most can be identified …

Accurate segmentation of lesions in medical images is of great significance for clinical
diagnosis and evaluation. The low contrast between lesions and surrounding tissues …

Background The exceptional capabilities of artificial intelligence (AI) in extracting image
information and processing complex models have led to its recognition across various …

Lung cancer is a serious type of cancer, leading to increased mortality to death in both men
and women as the symptoms are noticed only at later stages. Life span of individuals' may …

Feature selection and lung nodule recognition are the core modules of the lung computer-
aided detection (Lung CAD) system. To improve the performance of the Lung CAD system …

Lung cancer is often a fatal disease. To minimize patient mortality, the ability to identify the
nodule malignancy stage from computed tomography (CT) lung scans is critical. Most …

There is a widespread agreement that lung cancer is one of the deadliest types of cancer,
affecting both women and men. As a result, detecting lung cancer at an early stage is crucial …

An automated diagnostic system leads to a supreme requirement in medical image analysis,
greatly impacting the death rate due to the high spreading rate of liver tumors. However, the …

As lung nodules are only more widely detectable once they have moved to other lung
sections, it is highly challenging to anticipate the incidence of lung cancer at the beginning …

In recent times, artificial intelligence (AI) has emerged in every field, and its applications are
rapidly expanding in the medical sector, specifically for lung cancer. Different reasons can …